Climate Change Impacts on Soil Erosion in the Ceyhan Basin Using the RUSLE Model under the SSP5-8.5 Scenario

Miraç Kiliç

doi:10.31015/2025.3.34

Climate Change Impacts on Soil Erosion in the Ceyhan Basin Using the RUSLE Model under the SSP5-8.5 Scenario

Abstract

Worldwide topsoil loss through erosional processes creates substantial annual losses that threaten global food security and essential ecosystem functions. The Shared Socioeconomic Pathway 5 - Fossil-fueled Development (SSP5-8.5) forecasts reduced overall precipitation volumes, enhanced extreme rainfall events, and substantially elevated erosion susceptibility across the Mediterranean Basin. Within the Ceyhan Basin context, existing research lacks kilometer-resolution precipitation datasets spanning the 1995-2014 and 2041-2060 timeframes under SSP5-8.5 conditions for concurrent R factor calibration procedures. Considering these research gaps, this investigation seeks to assess the SSP5-8.5 pathway following AR6 temporal frameworks for mean annual soil loss rates (t ha⁻¹ yr⁻¹) throughout the Ceyhan Basin employing RUSLE methodology. Soil loss quantification utilized the Revised Universal Soil Loss Equation (RUSLE) framework. Computational analyses were performed using Google Earth Engine (GEE) cloud-based infrastructure at 250 m spatial resolution, incorporating CHIRPS datasets for the 1995-2014 baseline timeframe and NEX-GDDP-CMIP6 collections for the 2041-2060 projection period. Soil erodibility parameter (K) derivation employed SoilGrids 2.0, while topographic parameters originated from SRTM datasets. Conservation management parameter (P) was extracted from Copernicus Global Land Cover Layers collections. Reference period (1995-2014) mean soil loss measured 4.424 t ha⁻¹ yr⁻¹, with projections indicating an increase to 5.182 t ha⁻¹ yr⁻¹ during 2041-2060 under SSP5-8.5 conditions. Rainfall erosivity values demonstrated 7.6% enhancement, with peak values ranging from 239,689 MJ·mm·ha⁻¹·h⁻¹·yr⁻¹ to 258,017 MJ·mm·ha⁻¹·h⁻¹·yr⁻¹. Analysis revealed 93.8% of the study region maintaining existing erosion classifications, while 69,402 hectares will experience transitions from very low to low erosion categories. High-resolution climate dataset integration from CMIP6 combined with transition matrix methodologies indicate emerging erosion hotspots throughout southern and central basin areas with intensified erosion processes in environmentally critical zones.

Keywords

CMIP6 projections, GIS modeling, Google Earth Engine, Rainfall erosivity factor, Transition matrix analysis

References

Amiri, A., Ebtehaj, I., Soltani, K., Gumiere, S. J., & Bonakdari, H. (2025). Future soil erosion trends in Canadian agricultural lands from runoff and sustainability impacts. Scientific Reports, 15(1), 23184. https://doi.org/10.1038/s41598-025-05947-5
Anonymous. (2016). Ceyhan Havzası kirlilik önleme eylem planı. https://webdosya.csb.gov.tr/db/cygm/editordosya/ceyhan_KOEP.pdf
Anonymous. (2023). Ceyhan Havzası tanıtım [Rapor]. https://www.tarimorman.gov.tr/SYGM/Belgeler/havza tanıtım 23.03.2023/türkçe/Ceyhan Havzası Tanıtım.pdf
Arnheim, J. B., Peings, Y., & Magnusdottir, G. (2025). Contrasting Arctic Amplification Response in the Community Earth System Model Large Ensembles and Implications for the North Atlantic Region. Journal of Geophysical Research: Atmospheres, 130(6). https://doi.org/10.1029/2024JD042490
Arnoldus, H. M. J., Boodt, M. de, & Gabriels, D. (1980). An approximation of the rainfall factor in the Universal Soil Loss Equation. Assessment of Erosion., 127–132.
Barral Muñoz, M. Á. (2025). Positive rainfall erosivity trends compared with the reduction in soil erosion in a Mediterranean area (1996–2020). Catena, 249. https://doi.org/10.1016/j.catena.2024.108606
Başkan, O., & Dengiz, O. (2008). Comparison of traditional and geostatistical methods to estimate soil erodibility factor. Arid Land Research and Management, 22(1), 29-45. https://doi.org/10.1080/15324980701784144
Boix-Fayos, C., Martínez-Mena, M., Arnau-Rosalén, E., Calvo-Cases, A., Castillo, V., & Albaladejo, J. (2006). Measuring soil erosion by field plots: Understanding the sources of variation. Earth-Science Reviews, 78(3–4), 267–285. https://doi.org/10.1016/j.earscirev.2006.05.005
Borrelli, P., Märker, M., Panagos, P., & Schütt, B. (2014). Modeling soil erosion and river sediment yield for an intermountain drainage basin of the Central Apennines, Italy. CATENA, 114, 45–58. https://doi.org/10.1016/j.catena.2013.10.007
Buchhorn, M., Smets, B., Bertels, L., De Roo, B., Lesiv, M., Tsendbazar, N.-E., Herold, M., & Fritz, S. (2020). Copernicus Global Land Cover Layers—Collection 2. Remote Sensing, 12(6), 1044. https://doi.org/10.3390/rs12061044

Cos, J., Doblas-Reyes, F., Jury, M., Marcos, R., Bretonnière, P.-A., & Samsó, M. (2022). The Mediterranean climate change hotspot in the CMIP5 and CMIP6 projections. Earth System Dynamics, 13(1), 321–340. https://doi.org/10.5194/esd-13-321-2022
Çuhadar, M. (2019). Kuraklık Koşullarında Uygun Sulama ve Tarım Tekniklerinin Üreticiler Tarafından Uygulanabilirliği: Ceyhan Havzası Örneği. Ege Üniversitesi.
Dallan, E., Bagarello, V., Ferro, V., Pampalone, V., & Borga, M. (2025). Evaluation and projected changes in rainfall erosivity: Topography dependence revealed by Convection-Permitting climate projections for the Mediterranean island of Sicily. CATENA, 254, 108975. https://doi.org/10.1016/j.catena.2025.108975
Darabi, H., Danandeh Mehr, A., Kum, G., Sönmez, M. E., Dumitrache, C. A., Diani, K., Celebi, A., & Torabi Haghighi, A. (2023). Hydroclimatic Trends and Drought Risk Assessment in the Ceyhan River Basin: Insights from SPI and STI Indices. Hydrology, 10(8). https://doi.org/10.3390/hydrology10080157
Demir, S., & Dursun, İ. (2024). Assessment of pre- and post-fire erosion using the RUSLE equation in a watershed affected by the forest fire on Google Earth Engine: the study of Manavgat River Basin. Natural Hazards, 120(3), 2499–2527. https://doi.org/10.1007/s11069-023-06291-5
DeVilleneuve, S., Kelly, A., Miyanaka, N., Shanmuhasundaram, T., Murphree, P., & Wyatt, B. M. (2023). Impacts of vegetation and topsoil removal on soil erosion, soil moisture, and infiltration. Agrosystems, Geosciences and Environment, 6(3). https://doi.org/10.1002/agg2.20402
Dinku, T., Funk, C., Peterson, P., Maidment, R., Tadesse, T., Gadain, H., & Ceccato, P. (2018). Validation of the CHIRPS satellite rainfall estimates over eastern Africa. Quarterly Journal of the Royal Meteorological Society, 144, 292–312. https://doi.org/10.1002/qj.3244
Durigon, V. L., Carvalho, D. F., Antunes, M. A. H., Oliveira, P. T. S., & Fernandes, M. M. (2014). NDVI time series for monitoring RUSLE cover management factor in a tropical watershed. International Journal of Remote Sensing, 35(2), 441–453. https://doi.org/10.1080/01431161.2013.871081
Eekhout, J. P. C., Nunes, J. P., Tramblay, Y., & de Vente, J. (2025). Severe Impacts on Water Resources Projected for the Mediterranean Basin. Wiley Interdisciplinary Reviews: Water, 12(2). https://doi.org/10.1002/wat2.70012
Farr, T. G., Rosen, P. A., Caro, E., Crippen, R., Duren, R., Hensley, S., Kobrick, M., Paller, M., Rodriguez, E., Roth, L., Seal, D., Shaffer, S., Shimada, J., Umland, J., Werner, M., Oskin, M., Burbank, D., & Alsdorf, D. (2007). The Shuttle Radar Topography Mission. Reviews of Geophysics, 45(2). https://doi.org/10.1029/2005RG000183
Fenta, A. A., Tsunekawa, A., Haregeweyn, N., Yasuda, H., Tsubo, M., Borrelli, P., Kawai, T., Belay, A. S., Ebabu, K., Berihun, M. L., Sultan, D., Setargie, T. A., Elnashar, A., Arshad, A., & Panagos, P. (2024). An integrated modeling approach for estimating monthly global rainfall erosivity. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-59019-1
Ferreira, V., & Panagopoulos, T. (2014). Seasonality of Soil Erosion Under Mediterranean Conditions at the Alqueva Dam Watershed. Environmental Management, 54(1), 67–83. https://doi.org/10.1007/s00267-014-0281-3
Funk, C., Peterson, P., Landsfeld, M., Pedreros, D., Verdin, J., Shukla, S., Husak, G., Rowland, J., Harrison, L., Hoell, A., & Michaelsen, J. (2015). The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes. Scientific Data, 2(1), 150066. https://doi.org/10.1038/sdata.2015.66
Gezici, K., Şengül, S., & Kesgin, E. (2025). Assessment of soil erosion risk in the mountainous region of northeastern Türkiye based on the RUSLE model and CMIP6 climate projections. Environmental Earth Sciences, 84(167). https://doi.org/10.1007/s12665-025-12184-6
Gidden, M. J., Riahi, K., Smith, S. J., Fujimori, S., Luderer, G., Kriegler, E., van Vuuren, D. P., van den Berg, M., Feng, L., Klein, D., Calvin, K., Doelman, J. C., Frank, S., Fricko, O., Harmsen, M., Hasegawa, T., Havlik, P., Hilaire, J., Hoesly, R., … Takahashi, K. (2019). Global emissions pathways under different socioeconomic scenarios for use in CMIP6: a dataset of harmonized emissions trajectories through the end of the century. Geoscientific Model Development, 12(4), 1443–1475. https://doi.org/10.5194/gmd-12-1443-2019
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, 202, 18–27. https://doi.org/10.1016/j.rse.2017.06.031
Hateffard, F., Mohammed, S., Alsafadi, K., Enaruvbe, G. O., Heidari, A., Abdo, H. G., & Rodrigo-Comino, J. (2021). CMIP5 climate projections and RUSLE-based soil erosion assessment in the central part of Iran. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-86618-z
Hochman, A., Marra, F., Messori, G., Pinto, J. G., Raveh-Rubin, S., Yosef, Y., & Zittis, G. (2022). Extreme weather and societal impacts in the eastern Mediterranean. Earth System Dynamics, 13(2), 749–777. https://doi.org/10.5194/esd-13-749-2022
Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X., & Ferreira, L. G. (2002). Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 83(1), 195–213. https://doi.org/10.1016/S0034-4257(02)00096-2
IPCC. (2021a). Chapter 8: Water cycle changes. In Climate change 2021: The physical science basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (pp. 1055–1210). Cambridge University Press. https://doi.org/10.1017/9781009157896.010
IPCC. (2021b). Summary for Policymakers BT - Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (V. Masson-Delmotte, P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M. I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J. B. R. Matthews, T. K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, & B. Zhou (eds.); p. SPM-1-SPM-41). Cambridge University Press. https://doi.org/10.1017/9781009157896.001
IPCC. (2022). Climate Change and Land. In Climate Change and Land: An IPCC Special Report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems. Cambridge University Press. https://doi.org/10.1017/9781009157988
IPCC. (2023). Climate Change 2021 – The Physical Science Basis. Cambridge University Press. https://doi.org/10.1017/9781009157896
İrvem, A., Topaloglu, F., & Uygur, V. (2007). Estimating spatial distribution of soil loss over Seyhan River Basin in Turkey. Journal of Hydrology, 336(1-2), 30-37. https://doi.org/10.1016/j.jhydrol.2006.12.009
Jiang, K., Mo, S., Zhang, J., Yu, K., & Li, Z. (2025). Variation characteristics of soil erosion and their response to landscape patterns in a typical basin in the Upper Yangtze River. Frontiers in Plant Science, 16. https://doi.org/10.3389/fpls.2025.1523891
Jodhani, K. H., Patel, D., Madhavan, N., Singh, S. K., Lakshmikantha, M. R., & Babu, S. (2023). Soil erosion assessment by RUSLE, Google Earth Engine, and geospatial techniques over Rel River watershed, Gujarat, India. Water Conservation Science and Engineering, 8(1), 1-18. https://doi.org/10.1007/s41101-023-00223-x
Karydas, C. G., Sekuloska, T., & Silleos, G. N. (2009). Quantification and site-specification of the support practice factor when mapping soil erosion risk associated with olive plantations in the Mediterranean island of Crete. Environmental Monitoring and Assessment, 149(1–4), 19–28. https://doi.org/10.1007/s10661-008-0179-8
Kilic, O. M., & Gunal, H. (2021). Spatial-temporal changes in rainfall erosivity in Turkey using CMIP5 global climate change scenario. Arabian Journal of Geosciences, 14(12), 1079. https://doi.org/10.1007/s12517-021-07184-2
Knijff, V. der, Jones, J. ., Jones, R. J. ., & Montanarella, L. (2000). Soil Erosion risk Assessment in Europe. European Commission, European Soil Bureau.
Kosmas, C., Danalatos, N., Cammeraat, L. H., Chabart, M., Diamantopoulos, J., Farand, R., Gutierrez, L., Jacob, A., Marques, H., Martinez-Fernandez, J., Mizara, A., Moustakas, N., Nicolau, J. M., Oliveros, C., Pinna, G., Puddu, R., Puigdefabregas, J., Roxo, M., Simao, A., … Vacca, A. (1997). The effect of land use on runoff and soil erosion rates under Mediterranean conditions. CATENA, 29(1), 45–59. https://doi.org/10.1016/S0341-8162(96)00062-8
Lazoglou, G., Hadjinicolaou, P., Sofokleous, I., Bruggeman, A., & Zittis, G. (2024). Climate change and extremes in the Mediterranean island of Cyprus: from historical trends to future projections. Environmental Research Communications, 6(9), 095020. https://doi.org/10.1088/2515-7620/ad7927
Lenderink, G., Barbero, R., Loriaux, J. M., & Fowler, H. J. (2017). Super-Clausius–Clapeyron Scaling of Extreme Hourly Convective Precipitation and Its Relation to Large-Scale Atmospheric Conditions. Journal of Climate, 30(15), 6037–6052. https://doi.org/10.1175/JCLI-D-16-0808.1
Lionello, P., & Scarascia, L. (2018). The relation between climate change in the Mediterranean region and global warming. Regional Environmental Change, 18(5), 1481–1493. https://doi.org/10.1007/s10113-018-1290-1
Meinshausen, M., Nicholls, Z. R. J., Lewis, J., Gidden, M. J., Vogel, E., Freund, M., Beyerle, U., Gessner, C., Nauels, A., Bauer, N., Canadell, J. G., Daniel, J. S., John, A., Krummel, P. B., Luderer, G., Meinshausen, N., Montzka, S. A., Rayner, P. J., Reimann, S., … Wang, R. H. J. (2020). The shared socio-economic pathway (SSP) greenhouse gas concentrations and their extensions to 2500. Geoscientific Model Development, 13(8), 3571–3605. https://doi.org/10.5194/gmd-13-3571-2020
Moore, I. D., & Burch, G. J. (1986). Physical Basis of the Length‐slope Factor in the Universal Soil Loss Equation. Soil Science Society of America Journal, 50(5), 1294–1298. https://doi.org/10.2136/sssaj1986.03615995005000050042x
Moore, I. D., & Wilson, J. P. (1992). Length-slope factors for the Revised Universal Soil Loss Equation: Simplified method of estimation. Journal of Soil and Water Conservation, 47(5), 423 LP – 428. http://www.jswconline.org/content/47/5/423.abstract
Morgan, R. P. C. (2005). Soil erosion and conservation. In Environmental issues in the 1990s (3rd ed.). Blackwell Publishing.
Panagos, P., Ballabio, C., Borrelli, P., Meusburger, K., Klik, A., Rousseva, S., Tadić, M. P., Michaelides, S., Hrabalíková, M., Olsen, P., Aalto, J., Lakatos, M., Rymszewicz, A., Dumitrescu, A., Beguería, S., & Alewell, C. (2015a). Rainfall erosivity in Europe. Science of the Total Environment, 511, 801–814. https://doi.org/10.1016/j.scitotenv.2015.01.008
Panagos, P., Borrelli, P., & Meusburger, K. (2015b). A New European Slope Length and Steepness Factor (LS-Factor) for Modeling Soil Erosion by Water. Geosciences, 5(2), 117–126. https://doi.org/10.3390/geosciences5020117
Panagos, P., Borrelli, P., Meusburger, K., Alewell, C., Lugato, E., & Montanarella, L. (2015c). Estimating the soil erosion cover-management factor at the European scale. Land Use Policy, 48, 38–50. https://doi.org/10.1016/j.landusepol.2015.05.021
Panagos, P., Borrelli, P., Meusburger, K., van der Zanden, E. H., Poesen, J., & Alewell, C. (2015d). Modelling the effect of support practices (P-factor) on the reduction of soil erosion by water at European scale. Environmental Science and Policy, 51, 23–34. https://doi.org/10.1016/j.envsci.2015.03.012
Panagos, P., Borrelli, P., Meusburger, K., Yu, B., Klik, A., Lim, K. J., Yang, J. E., Ni, J., Miao, C., Chattopadhyay, N., Sadeghi, S. H., Hazbavi, Z., Zabihi, M., Larionov, G. A., Krasnov, S. F., Gorobets, A. V., Levi, Y., Erpul, G., Birkel, C., … Ballabio, C. (2017). Global rainfall erosivity assessment based on high-temporal resolution rainfall records. Scientific Reports, 7(1). https://doi.org/10.1038/s41598-017-04282-8
Panagos, P., Meusburger, K., Ballabio, C., Borrelli, P., & Alewell, C. (2014). Soil erodibility in Europe: A high-resolution dataset based on LUCAS. Science of the Total Environment, 479–480(1), 189–200. https://doi.org/10.1016/j.scitotenv.2014.02.010
Poggio, L., De Sousa, L. M., Batjes, N. H., Heuvelink, G. B. M., Kempen, B., Ribeiro, E., & Rossiter, D. (2021). SoilGrids 2.0: Producing soil information for the globe with quantified spatial uncertainty. Soil, 7(1), 217–240. https://doi.org/10.5194/soil-7-217-2021
Pontius, R. G., Shusas, E., & McEachern, M. (2004). Detecting important categorical land changes while accounting for persistence. Agriculture, Ecosystems & Environment, 101(2–3), 251–268. https://doi.org/10.1016/j.agee.2003.09.008
Renard, K., Foster, G., Weesies, G., McCool, D., & Yoder, D. (1997). Predicting soil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). Agricultural Handbook No. 703, 404. http://www.ars.usda.gov/SP2UserFiles/Place/64080530/RUSLE/AH_703.pdf
Saygın, S. (2021). Effects of season and phenology-based changes on soil erodibility and other dynamic RUSLE factors for semi-arid winter wheat fields. Journal of Agricultural Sciences, 27(4), 526-535. https://doi.org/10.15832/ankutbd.749181
Sud, A., Sajan, B., Kanga, S., Singh, S. K., Singh, S., Durin, B., & Meraj, G. (2024). Integrating RUSLE model with cloud-based geospatial analysis: A Google Earth Engine approach for soil erosion assessment in the Satluj Watershed. Water, 16(8), 1073. https://doi.org/10.3390/w16081073
Sun, M., Guo, M., Guo, S., Li, Y., Dong, S., Song, X., Shi, X., & Yuan, X. (2022). Effects of mesotrione on the control efficiency and chlorophyll fluorescence parameters of Chenopodium album under simulated rainfall conditions. PLOS ONE, 17(6), e0267649. https://doi.org/10.1371/journal.pone.0267649
Sun, W., Tang, W., Wu, Y., He, S., & Wu, X. (2023). The Influences of Rainfall Intensity and Timing on the Assemblage of Dung Beetles and the Rate of Dung Removal in an Alpine Meadow. Biology, 12(12), 1496. https://doi.org/10.3390/biology12121496
Tarigan, R. A. (2022). Impact of Climate Change on Soil Erosion. Agrotekma: Jurnal Agroteknologi Dan Ilmu Pertanian, 7(1), 28–35. https://doi.org/10.31289/agr.v7i1.9427
Thrasher, B., Wang, W., Michaelis, A., Melton, F., Lee, T., & Nemani, R. (2022). NASA Global Daily Downscaled Projections, CMIP6. Scientific Data, 9(1), 262. https://doi.org/10.1038/s41597-022-01393-4
Tian, P., Zhu, Z., Yue, Q., He, Y., Zhang, Z., Hao, F., Guo, W., Chen, L., & Liu, M. (2021). Soil erosion assessment by RUSLE with improved P factor and its validation: Case study on mountainous and hilly areas of Hubei Province, China. International Soil and Water Conservation Research, 9(3), 433–444. https://doi.org/10.1016/j.iswcr.2021.04.007
Trenberth, K. E., Dai, A., Rasmussen, R. M., & Parsons, D. B. (2003). The Changing Character of Precipitation. Bulletin of the American Meteorological Society, 84(9), 1205–1218. https://doi.org/10.1175/BAMS-84-9-1205
Uber, M., Haller, M., Brendel, C., Hillebrand, G., & Hoffmann, T. (2024). Past, present and future rainfall erosivity in central Europe based on convection-permitting climate simulations. Hydrology and Earth System Sciences, 28(1), 87–102. https://doi.org/10.5194/hess-28-87-2024
USDA. (2013). Revised Universal Soil Loss Equation Version 2 (for the model with release date of May 20, 2008) (Vol. 2, Issue August).
Wang, H., & Zhao, H. (2020). Dynamic changes of soil erosion in the Taohe River Basin using the RUSLE model and Google Earth Engine. Water, 12(5), 1293. https://doi.org/10.3390/w12051293
Wang, L., Li, Y., Wu, J., An, Z., Suo, L., Ding, J., Li, S., Wei, D., & Jin, L. (2023). Effects of the Rainfall Intensity and Slope Gradient on Soil Erosion and Nitrogen Loss on the Sloping Fields of Miyun Reservoir. Plants, 12(3), 423. https://doi.org/10.3390/plants12030423
Weng, X., Zhang, B., Zhu, J., Wang, D., & Qiu, J. (2023). Assessing Land Use and Climate Change Impacts on Soil Erosion Caused by Water in China. Sustainability (Switzerland), 15(10). https://doi.org/10.3390/su15107865
Williams J., Shaffer J, Renard, K., Foster, G., Laflen, J., Lyles, L., Onstad, C., Sharpley A, Nicks, A., Jones, C., Richardson, C., Dyke, P., Cooley, K., & Smith. S. (1990). EPIC-Erosion/Productivity Impact Calculator 1. Model Documentation.
Wilson, C. G., Abercrombie, K. W., Schwartz, J., & Hathaway, J. (2023). Quantifying Support Practice Sub-Factor Values for Erosion-Control and Sediment Retention Devices.
Wischmeier, W. H., & Smith, D. D. (1987). Predicting Rainfall Erosion Losses—A Guide to Conservation Planning. Agriculture Handbook No. 537. 1–168.
Wischmeier, W. H., Johnson, C. B., & Cross, B. V. (1971). Soil erodibility nomograph for farmland and construction sites. Journal of Soil and Water Conservation, 26(5), 189–193.
Yavaşlı, D. D., & Erlat, E. (2023 ). Climate model projections of aridity patterns in Türkiye: A comprehensive analysis using CMIP6 models and three aridity indices. International Journal of Climatology, 43(13), 6207–6224. https://doi.org/10.1002/joc.8201
Yin, C., Bai, C., Zhu, Y., Shao, M., Han, X., & Qiao, J. (2025). Future Soil Erosion Risk in China: Differences in Erosion Driven by General and Extreme Precipitation Under Climate Change. Earth’s Future, 13(3). https://doi.org/10.1029/2024EF005390
Yüce, M. İ., & Eşit, M. (2020). Ceyhan Havzasının kuraklık risk haritasının SPI ve SPEI metotları ile belirlenmesi. Su Kaynakları, 5(2), 1–8. https://dergipark.org.tr/en/download/article-file/1077339
Zittis, G., Almazroui, M., Alpert, P., Ciais, P., Cramer, W., Dahdal, Y., Fnais, M., Francis, D., Hadjinicolaou, P., Howari, F., Jrrar, A., Kaskaoutis, D. G., Kulmala, M., Lazoglou, G., Mihalopoulos, N., Lin, X., Rudich, Y., Sciare, J., Stenchikov, G., … Lelieveld, J. (2022). Climate Change and Weather Extremes in the Eastern Mediterranean and Middle East. Reviews of Geophysics, 60(3). https://doi.org/10.1029/2021RG000762

Details

Primary Language

English

Subjects

Conservation and Improvement of Soil and Water Resources

Journal Section

Research Article

Authors

Miraç Kiliç ^*
0000-0001-8026-5540
Türkiye

Publication Date

September 27, 2025

Submission Date

July 17, 2025

Acceptance Date

September 18, 2025

Published in Issue

Year 2025 Volume: 9 Number: 3

DOI

https://doi.org/10.31015/2025.3.34

IZ

https://izlik.org/JA35WR66RJ

APA

Kiliç, M. (2025). Climate Change Impacts on Soil Erosion in the Ceyhan Basin Using the RUSLE Model under the SSP5-8.5 Scenario. International Journal of Agriculture Environment and Food Sciences, 9(3), 939-953. https://doi.org/10.31015/2025.3.34

AMA

1.Kiliç M. Climate Change Impacts on Soil Erosion in the Ceyhan Basin Using the RUSLE Model under the SSP5-8.5 Scenario. int. j. agric. environ. food sci. 2025;9(3):939-953. doi:10.31015/2025.3.34

Chicago

Kiliç, Miraç. 2025. “Climate Change Impacts on Soil Erosion in the Ceyhan Basin Using the RUSLE Model under the SSP5-8.5 Scenario”. International Journal of Agriculture Environment and Food Sciences 9 (3): 939-53. https://doi.org/10.31015/2025.3.34.

EndNote

Kiliç M (September 1, 2025) Climate Change Impacts on Soil Erosion in the Ceyhan Basin Using the RUSLE Model under the SSP5-8.5 Scenario. International Journal of Agriculture Environment and Food Sciences 9 3 939–953.

IEEE

[1]M. Kiliç, “Climate Change Impacts on Soil Erosion in the Ceyhan Basin Using the RUSLE Model under the SSP5-8.5 Scenario”, int. j. agric. environ. food sci., vol. 9, no. 3, pp. 939–953, Sept. 2025, doi: 10.31015/2025.3.34.

ISNAD

Kiliç, Miraç. “Climate Change Impacts on Soil Erosion in the Ceyhan Basin Using the RUSLE Model under the SSP5-8.5 Scenario”. International Journal of Agriculture Environment and Food Sciences 9/3 (September 1, 2025): 939-953. https://doi.org/10.31015/2025.3.34.

JAMA

1.Kiliç M. Climate Change Impacts on Soil Erosion in the Ceyhan Basin Using the RUSLE Model under the SSP5-8.5 Scenario. int. j. agric. environ. food sci. 2025;9:939–953.

MLA

Kiliç, Miraç. “Climate Change Impacts on Soil Erosion in the Ceyhan Basin Using the RUSLE Model under the SSP5-8.5 Scenario”. International Journal of Agriculture Environment and Food Sciences, vol. 9, no. 3, Sept. 2025, pp. 939-53, doi:10.31015/2025.3.34.

Vancouver

1.Miraç Kiliç. Climate Change Impacts on Soil Erosion in the Ceyhan Basin Using the RUSLE Model under the SSP5-8.5 Scenario. int. j. agric. environ. food sci. 2025 Sep. 1;9(3):939-53. doi:10.31015/2025.3.34

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Climate Change Impacts on Soil Erosion in the Ceyhan Basin Using the RUSLE Model under the SSP5-8.5 Scenario

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Integrated modelling of soil erosion under land-use and climate change in the Kulfo River Catchment, Ethiopia: implications for climate-resilient management

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